[78] MLOps: from Concept to Product (Sandra Yojana Meneses)

[Boadzie]

Timestamps	Description
00:00	Welcome
00:13	Sandra introduces the topic
1:00	What is MLOps?
1:59	What is DevOps?
4:08	What is Continuous Integration/Continuous Deployment(CI/CD)?
5:48	ML systems
5:53	Machine Learning Lifecycle
7:28	Data Team
8:52	Why are ML systems different
10:40	ML challenges in the Dev process
10:46	Experimentation
11:27	Reproducibility
12:59	Tracking and versioning
13:54	Git for Data Science
15:15	Automated Testing
16:27	Deployment
17:04	Monitoring
19:10	MLops Practices
19:26	Data Management
21:21	Model Management
22:14	Model Evaluation
23:15	Online ML system validation
25:06	Responsible AI
25:46	Continuous Training(CT)
28:16	MLOps Maturity Model
31:03	Automated Pipeline
32:50	What did we learn?
34:07	Books
34:23	Sources
34:50	Tools Review

[welcome[bot]]

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[reshamas]

@Boadzie Thanks so much for your contribution!

I added the timestamps here via a pull request.
https://github.com/data-umbrella/event-transcripts/blob/main/2023/78-sandra-mlops.md

Please note that this is the format needed because then the text can be directly copied and pasted into the YouTube video description area. (I needed to remove the table formatting.)

## Timestamps
00:00 Welcome
00:13 Sandra introduces the topic
01:00 What is MLOps?
01:59 What is DevOps?
04:08 What is Continuous Integration/Continuous Deployment(CI/CD)?
05:48 ML systems
05:53 Machine Learning Lifecycle
07:28 Data Teams
08:52 Why are ML systems different
10:40 ML challenges in the Dev process
10:46 Experimentation
11:27 Reproducibility
12:59 Tracking and versioning
13:54 Git for Data Science
15:15 Automated Testing
16:27 Deployment
17:04 Monitoring
19:10 MLops Practices
19:26 Data Management
21:21 Model Management
22:14 Model Evaluation
23:15 Online ML system validation
25:06 Responsible AI
25:46 Continuous Training(CT)
28:16 MLOps Maturity Model
31:03 Automated Pipeline
32:50 What did we learn?
34:07 Books
34:23 Sources
34:50 Tools Review                   

[Boadzie]

OK sure. I will do that next time.